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Transverse linear switched reluctance motors (TLSRMs) are generally challenged by high-force ripples that contribute to a lower average propulsion force. This undermines the overall efficiency of the TLSRM in various industries. This paper presents structural modifications to improve the force performance of a TLSRM for transit applications. In this new design, a split-teeth stator design was proposed to virtually increase the number of stator teeth without increasing the number of translator teeth. The proposed TLSRM contains a movable translator with 16 poles for direct transmission with no gear mechanism. A hybrid TLSRM design method is presented, modifying the conventional design method to accommodate these structural modifications. A specific power output equation for the proposed motor was derived by correlating the force, power, and physical dimensions. The proposed motor was designed and analyzed using the FEM software to ensure the accuracy of the design.

In this paper, topology optimization of the rotor flux-barrier of an interior permanent magnet synchronous motor using a normalized Gaussian network is proposed to improve traction in a hybrid electric vehicle. The flux-barrier that impacts on the electromagnetic performance such as average torque, torque ripple and power is important in the design of electromagnetic motors. The normalized Gaussian network was used to obtain the shape of the optimal flux-barrier, and the weighting coefficients used in this method were optimized using a genetic algorithm. To prevent indiscriminate creation of the flux-barrier, the design region was divided into detailed subregions. The weighting coefficients were generated using different methods in each subregion. In addition, to increase the mechanical stability of the shape by eliminating unstable shapes, the post-processing is performed. The superiority of the performance due to optimizing the topology was confirmed, with the average torque increased by 8.43% and the torque ripple decreased by 20.07%p. The mechanical stability of the optimal shape is verified by conducting stress analysis.

This paper proposes the optimization algorithm, an adjusted evolution strategy (AES) and verifies performance of the AES applying the optimal design of the outer-rotor surface mounted permanent magnet synchronous motor (SPMSM) for unmanned aerial vehicle. The proposed algorithm improved disadvantage of the conventional evolution strategy, which requires long computation time when solving the optimization problem, utilizing an exponential function of the annealing factor. In addition, the AES further enhances the convergence characteristic by combining with the compass segment method which is deterministic algorithm. This paper shows that the superiority of AES over NGA and ES in three test functions, with 30% to 70% reduction in the number of function calls, and an improvement of 5%p to 30%p in the convergence accuracy. Finally, the AES is applied to the optimization design of the outer-rotor SPMSM, and this paper derived the optimal model of the SPMSM to increase average torque and reduce torque ripple that causes vibration in unmanned aerial vehicle. As a result, proposed algorithm successfully derived the optimal model and verified the robustness. Therefore, the results of this study are expected to be widely applied to the multimodal optimization problem of various electrical machines utilizing FEM.

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